WhatYoullDo: Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases. Explore, clean, and analyze large datasets to uncover insights and trends. Build prototypes, run experiments, and contribute to model evaluation and validation. Work with engineering teams to integrate models into production pipelines. Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms). Build dashboards and reports that communicate findings to business partners. Participate in code reviews and follow team best practices. What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM). Solid SQL skills and comfort working with large datasets. Understanding of core ML concepts: regression, classification, validation, feature engineering. Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills. Ability to communicate analytical findings clearly and concisely. Exposure to recommendation systems or marketing analytics is an asset. Experience with A/B testing or experiment analysis is an asset.. Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset. Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset. Cet affichage reprsente un poste vacant au sein de notre organisation. propos de nous La Socit Canadian Tire Limite (Socit) est lune des entreprises les plus admires et les plus respectes au Canada. Nous disposons de plus de 90 marques dtenues, 1 700 dtaillants, des services financiers, des capacits exemplaires en matire de commerce lectronique et des stratgies de marchandisage passionnantes la fine pointe du march. Nous avons de grands rves et nous travaillons ensemble pour innover de manire cible pour nos clients tous les niveaux de nos activits, en investissant dans de nouvelles technologies et de nouveaux produits et en redoublant de talent pour faire avancer lentreprise. Nous offrons des salaires concurrentiels aux employs de la Socit Canadian Tire, ainsi que des rabais en magasin, des programmes dapprentissage offerts par lentremise de lAcadmie apprentissage Triangle, des programmes de participation aux bnfices de Canadian Tire et des rgimes de retraite et dpargne pour les employs admissibles. Dans le cadre de notre programme amlior davantages sociaux flexibles, nous offrons des avantages en matire de sant mentale et de bien-tre total dun montant de 5 000 $ par anne aux employs admissibles et leur famille, ainsi que des outils et des ressources en matire de sant mentale pour tous les employs. Joignez-vous nous pour contribuer amliorer la vie au Canada en incarnant et en mettant en pratique nos valeurs fondamentales : nous sommes des innovateurs et des entrepreneurs dans lme, les rsultats nous motivent, linclusion est une ncessit, nous sommes plus forts ensemble et nous assumons notre responsabilit personnelle. Cest un moment particulirement excitant pour vous joindre la Socit Canadian Tire et sa famille dentreprises, o les possibilits de carrire sont trs varies! Joignez-vous nous, il y a une place pour vous ici! Notre engagement envers la diversit, linclusion et lappartenance Nous nous engageons favoriser un environnement o le sentiment dappartenance est florissant et o la diversit, linclusion et lquit font partie intgrante de tout ce que nous faisons. Nous croyons en la cration dune culture organisationnelle o les gens sont traits en tout temps avec dignit dans le respect de la religion, de la nationalit, du sexe, de la race, de lge, de la capacit perue, de la langue parle, de lorientation sexuelle et de lidentit de chacun. Nous sommes unis dans notre objectif dtre ici pour contribuer amliorer la vie au Canada. Accommodements Nous tenons fermement notre valeur fondamentale dinclusion. Nous accueillons et encourageons les candidats issus de groupes en qute dquit, comme les personnes racises, les Autochtones, les membres de la communaut2SLGBTQIA+, les femmes, les personnes handicapes et autres. Si vous avez besoin daccommodements pour postuler ce poste ou lors de lentrevue, veuillez-nous le faire savoir lorsque vous nous contacterez, et nous travaillerons avec vous pour rpondre vos besoins.

WhatYoullDo: Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases. Explore, clean, and analyze large datasets to uncover insights and trends. Build prototypes, run experiments, and contribute to model evaluation and validation. Work with engineering teams to integrate models into production pipelines. Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms). Build dashboards and reports that communicate findings to business partners. Participate in code reviews and follow team best practices. What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM). Solid SQL skills and comfort working with large datasets. Understanding of core ML concepts: regression, classification, validation, feature engineering. Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills. Ability to communicate analytical findings clearly and concisely. Exposure to recommendation systems or marketing analytics is an asset. Experience with A/B testing or experiment analysis is an asset.. Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset. Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset. This posting represents an existing vacancy within our organization.

What Youu2019ll Do: Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases. Explore, clean, and analyze large datasets to uncover insights and trends. Build prototypes, run experiments, and contribute to model evaluation and validation. Work with engineering teams to integrate models into production pipelines. Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms). Build dashboards and reports that communicate findings to business partners. Participate in code reviews and follow team best practices. What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM). Solid SQL skills and comfort working with large datasets. Understanding of core ML concepts: regression, classification, validation, feature engineering. Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills. Ability to communicate analytical findings clearly and concisely. Exposure to recommendation systems or marketing analytics is an asset. Experience with A/B testing or experiment analysis is an asset.. Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset. Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset. This posting represents an existing vacancy within our organization. About Us Canadian Tire Corporation, Limited (u201cCTCu201d) is one of Canadau2019s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there''s a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

Weu2019re looking for a Data Scientist to join our Triangle Data Products team. Youu2019ll help build and enhance models that drive targeted offers, recommendations, and customer engagement for millions of loyalty members. This role is ideal for someone early in their career who wants to grow into applied ML, experimentation, and production systems. What Youu2019ll Do: Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases. Explore, clean, and analyze large datasets to uncover insights and trends. Build prototypes, run experiments, and contribute to model evaluation and validation. Work with engineering teams to integrate models into production pipelines. Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms). Build dashboards and reports that communicate findings to business partners. Participate in code reviews and follow team best practices. What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM). Solid SQL skills and comfort working with large datasets. Understanding of core ML concepts: regression, classification, validation, feature engineering. Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills. Ability to communicate analytical findings clearly and concisely. Exposure to recommendation systems or marketing analytics is an asset. Experience with A/B testing or experiment analysis is an asset.. Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset. Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset. Weu2019re always looking for great talent! In addition to competitive pay, we offer: Comprehensive benefits and retirement programs Performance incentives, Continuing Education Programs Other perks to support your well-being Career growth opportunities and product discounts Our typical hiring range is between $57,000 and $88,000 Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. About Us Canadian Tire Corporation, Limited (u201cCTCu201d) is one of Canadau2019s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there''s a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.